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An Open Source Software: Q-GIS Based Analysis for Solar Potential of Sikkim (India)

An Open Source Software: Q-GIS Based Analysis for Solar Potential of Sikkim (India)

Dipanjan Ghose, Sreejita Naskar, Shabbiruddin, Amit Kumar Roy
Copyright: © 2019 |Volume: 10 |Issue: 1 |Pages: 20
ISSN: 1942-3926|EISSN: 1942-3934|EISBN13: 9781522565529|DOI: 10.4018/IJOSSP.2019010104
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MLA

Ghose, Dipanjan, et al. "An Open Source Software: Q-GIS Based Analysis for Solar Potential of Sikkim (India)." IJOSSP vol.10, no.1 2019: pp.49-68. http://doi.org/10.4018/IJOSSP.2019010104

APA

Ghose, D., Naskar, S., Shabbiruddin, & Roy, A. K. (2019). An Open Source Software: Q-GIS Based Analysis for Solar Potential of Sikkim (India). International Journal of Open Source Software and Processes (IJOSSP), 10(1), 49-68. http://doi.org/10.4018/IJOSSP.2019010104

Chicago

Ghose, Dipanjan, et al. "An Open Source Software: Q-GIS Based Analysis for Solar Potential of Sikkim (India)," International Journal of Open Source Software and Processes (IJOSSP) 10, no.1: 49-68. http://doi.org/10.4018/IJOSSP.2019010104

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Abstract

Most of the issues regarding power supply occurs due to transmission of power through long distances over diverse and unsuitable landscapes. A solar power plant, if installed within the vicinity of the diverse recipient areas, cuts short the transmission related problems by great numbers and acts like an absolute boon to hilly terrains like Sikkim. The study presented here investigates the land suitability for medium-scale solar power installations in Sikkim by using open source software - Quantum-Geographic Information System (Q-GIS) combined with Multi-criteria Decision Making (MCDM) techniques. Six exclusion criteria are identified to avoid unsuitable areas for plant installation. Analytic Hierarchy Process (AHP) is used to rank the available areas according to their suitability, which have been further presented in a technology-aided suitability map. Such a study greatly reduces the feasibility related issues for investors in such projects to visit every site available for construction of the plant, saving time and money.

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